AIMC Journal:
Computer methods and programs in biomedicine

Showing 311 to 320 of 844 articles

How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.

Computer methods and programs in biomedicine Oct 2, 2022
PURPOSE: To investigate if artificial intelligence can identify fetus intracranial structures in pregnancy week 11-14; to provide an automated method of standard and non-standard sagittal view classification in obstetric ultrasound examination METHOD...
Pregnancy Female Humans Artificial Intelligence Ultrasonography Sensitivity and Specificity Deep Learning Fetus
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AIMIC: Deep Learning for Microscopic Image Classification.

Computer methods and programs in biomedicine Sep 28, 2022
BACKGROUND AND OBJECTIVE: Deep learning techniques are powerful tools for image analysis. However, the lack of programming experience makes it difficult for novice users to apply this technology. This project aims to lower the barrier for clinical us...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Machine Learning Deep Learning
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Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022).

Computer methods and programs in biomedicine Sep 27, 2022
BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has branched out to various applications in healthcare, such as health services management, predictive medicine, clinical decision-making, and patient data and diagnostics. Although AI models ha...
Artificial Intelligence Delivery of Health Care Humans
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A novel MCF-Net: Multi-level context fusion network for 2D medical image segmentation.

Computer methods and programs in biomedicine Sep 27, 2022
Medical image segmentation is a crucial step in the clinical applications for diagnosis and analysis of some diseases. U-Net-based convolution neural networks have achieved impressive performance in medical image segmentation tasks. However, the mult...
Image Processing, Computer-Assisted Neural Networks, Computer
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Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.

Computer methods and programs in biomedicine Sep 20, 2022
BACKGROUND AND OBJECTIVE: Accurate lung tumor segmentation from computed tomography (CT) is complex due to variations in tumor sizes, shapes, patterns and growing locations. Learning semantic and spatial relations between different feature channels, ...
Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed Lung Neoplasms Neural Networks, Computer Deep Learning
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A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.

Computer methods and programs in biomedicine Sep 20, 2022
BACKGROUND: Depression (Major Depressive Disorder) is one of the most common mental illnesses. According to the World Health Organization, more than 300 million people in the world are affected. A first depressive episode can be solved by a spontaneo...
Prospective Studies Depressive Disorder, Major Deep Learning Depression Humans Recurrence
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A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.

Computer methods and programs in biomedicine Sep 12, 2022
BACKGROUND AND OBJECTIVE: COVID-19 outbreak has become one of the most challenging problems for human being. It is a communicable disease caused by a new coronavirus strain, which infected over 375 million people already and caused almost 6 million d...
Deep Learning X-Rays Speech COVID-19 Cough Humans SARS-CoV-2 Early Diagnosis
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Automated analysis of three-dimensional CBCT images taken in natural head position that combines facial profile processing and multiple deep-learning models.

Computer methods and programs in biomedicine Sep 9, 2022
BACKGROUND AND OBJECTIVES: Analyzing three-dimensional cone beam computed tomography (CBCT) images has become an indispensable procedure for diagnosis and treatment planning of orthodontic patients. Artificial intelligence, especially deep-learning t...
Spiral Cone-Beam Computed Tomography Image Processing, Computer-Assisted Cephalometry Reproducibility of Results Humans Cone-Beam Computed Tomography Deep Learning Artificial Intelligence Imaging, Three-Dimensional
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Machine learning approaches used to analyze auditory evoked responses from the human auditory brainstem: A systematic review.

Computer methods and programs in biomedicine Sep 9, 2022
BACKGROUND: The application of machine learning algorithms for assessing the auditory brainstem response has gained interest over recent years with a considerable number of publications in the literature. In this systematic review, we explore how mac...
Humans Databases, Factual Evoked Potentials, Auditory, Brain Stem Machine Learning Algorithms Brain Stem
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Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques.

Computer methods and programs in biomedicine Sep 7, 2022
BACKGROUND: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other hand, pathologists are overworked and this is detrimental to the time spent on each patient, diagnostic turnaround time, and their ...
Deep Learning Humans Lung Neoplasms Adenocarcinoma Artificial Intelligence Carcinoma, Non-Small-Cell Lung
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